asp–1149: digital experiences live: demonstrations of how ... · breakout session, €11:00 am...

Speakers Industry

ASP–1149: Digital Experiences Live: Demonstrations ofHow to Integrate Your Cognitive World!

Sessions Architecture solutions and patterns

Breakout Session

, 01:00 PM – 01:45 PM

How do you tie together all of IBM's new, cloud-based cognitive services? In this action-

packed live demonstration session, you will see how the IBM Digital Experience allows

companies to create customized digital experiences using cloud-based services that

reinvent the way they engage with their most important audiences: customers and

employees. The demonstrations highlight how the IBM Digital Experience can be the

integration point for all your company's needs. You'll see how to use IBM's Commerce,

Watson, Bluemix, Cloud Cognitive Services, IBM Forms, Mobile and Collaboration

Software solutions to make better decisions and build customer loyalty, through different

live industry demonstrations for healthcare, insurance, retail and more.

ASP–1198: A Demonstration of Heterogeneous Data

27 October 2016

Mark A. Neumann, IBMBryan S. Daniel, IBM

Not Industry Specific

https://www-01.ibm.com/events/global/wow/sessions/print/index.html

1 of 27 9/26/2016 12:41 PM

Speakers Industry

Integration Using a Hybrid Cloud Data Lake


Breakout Session

, 09:00 AM – 09:45 AM

This session will demonstrate heterogeneous data integration using a hybrid cloud data

lake. The live demo use case is to support a bank’s marketing group. The marketing

group is trying to target customers who are good candidates for refinancing and home

loans. This session will illustrate and discuss best practices on the following topics:

hybrid cloud implementation; heterogeneous data reservoirs; metadata management

and governance; profiling/data quality; security and privacy; data integration topologies;

Data Citizen self-service provisioning; visualization and predictive analysis; advanced

analytics and modeling; and reporting dashboards.

ASP–1235: Successfully Architecting CognitiveCapabilities into the Fabric of a Cognitive Business


Breakout Session

, 05:00 PM – 05:45 PM

This presentation will describe a realized solution framework and architecture that

provides the flexibility and agility to incorporate both on-premise and cloud-based

cognitive capabilities into the fabric of insurance and financial services business

processes, including sales and marketing, from various distribution channels or systems

of engagement. The discussion will include methods to adopt and embrace new analytic

24 October 2016

Barry Rosen, IBMChristopher Giardina, IBMRussell Anderson, IBM

Banking

24 October 2016


2 of 27 9/26/2016 12:41 PM

Speakers Industry

and cognitive capabilities and technologies incrementally over time, with minimal

disruption, in a hybrid cloud environment. Aspects of the conversation will also include

quality, security, and speed of information and services.

Speaker Industry

ASP–1283: Big Data and Analytics in a Cognitive Era


Breakout Session

, 10:00 AM – 10:45 AM

Building a cognitive enterprise is a journey. This talk will first explain how analytics and

cognitive are related to and different from each other. Next, it will discuss the three steps

to achieve the ultimate Cognitive Enterprise: 1) Expand the aperture of data and access

to data. Acquire all data (enterprise, third-party and public open data). Build data lake(s).

Break data silos. Provide management and governance and hence access to data for all

users; 2) Build a strong analytics and cognitive foundation. IBM has full capabilities to

support our clients; and 3) Empower all personas with analytics and cognitive

capabilities. Enable self-service and collaboration. Embed cognitive in the lifecycle of

analytics.

ASP–1404: Think You Know What Insurers are Doing withInternet of Things Sensors?

Beth Ackerman, IBMBill Mathews, IBM

Insurance - General

26 October 2016

Christine Ouyang, IBM Not Industry Specific


3 of 27 9/26/2016 12:41 PM

Speakers Industry


Breakout Session

, 02:00 PM – 02:45 PM

Telematics is so yesterday. Today we can not only sensor-enable vehicles, but also

homes, buildings and, yes, people! This session will describe a use case and the

proposed architectural ecosystem that allows an insurer to leverage real-time sensor

data collection and analytics in the cloud to provide insight and notifications to help

proactively manage human safety; i.e. protecting people. The services and capabilities

provided are to be delivered in real-time, while feeding a hybrid cloud data lake to drive

analytics, reporting and deeper insight across the sensor and customer data.

25 October 2016

Beth Ackerman, IBMBill Mathews, IBM

Insurance - General


4 of 27 9/26/2016 12:41 PM

Speakers Industry

ASP–1419: Data Lake at ING: The Real Story Behind the"Marchitecture" and the Rollout


Breakout Session

, 01:00 PM – 01:45 PM

For the last three years, a small team within ING has been active in creating a data lake

architecture together with IBM: creating awareness in the organization, selling the dream,

pleading for money, and convincing 40+ countries that we need a data lake, and data

governance, and that we need to do it together. Now, three years down the road, we have

one build, rolled out to multiple countries, and have our first end-to-end processes live.

But it has not been an easy road. This presentation will go into the day-to-day

challenges of building a data lake, setting up data governance, struggling with

technology, and selling the story many times over to get the money to take on this

massive task.

ASP–1620: How Mobifone Built an Advanced AnalyticsPlatform for Targeted Marketing


Breakout Session

, 04:00 PM – 04:45 PM

Mobifone, a large mobile telecommunication provider in Vietnam, has rapidly moved

forward into big data analytics. Mobifone is using advanced analytics to reach

customers in innovative ways, and is realizing value from its big data investments. The

24 October 2016

Ferd Scheepers, INGAlex Buijsman, ING

Banking

25 October 2016


5 of 27 9/26/2016 12:41 PM

Speakers Industry

discussion will include lessons learned from building a big data platform, and how to

plan for and build an advanced analytics team.

Speakers Industry

ASP–1622: Overcome the Barriers of Cross-PlatformAnalysis for High Impact


Breakout Session

, 01:00 PM – 01:45 PM

This presentation shows how IBM and open source components can work together to

create a sophisticated big data analytical platform. Big data is being stored in many

locations, not just single data warehouses. Certain technologies are better at storing and

analyzing certain types of data: text in some, structured data in others. These storage

technologies are not directly compatible, creating barriers to cross-platform analysis.

The presentation will cover Hadoop, Fluid Query, Spark, the R programming language,

and other technologies for deep analytics and how to integrate them.

ASP–1662: Navigating the Data Lake with a BusinessUser Focused Glossary


Tommy EUNICE, IBMKim Nguyen, ITT

Telecommunications

27 October 2016

Tommy EUNICE, IBMHien Ha, ITT

Telecommunications


6 of 27 9/26/2016 12:41 PM

Speakers Industry

Breakout Session

, 08:00 AM – 08:45 AM

As more organizations build out their data lake infrastructure, it is becoming clear that

one key challenge that must be addressed is how to ensure maximum engagement with

the data lake assets by the various business users. This session will focus on the

practical approaches and considerations around building a glossary that provides the

basis for self-service access to the data lake by business users. What are the benefits of

a standard, business-meaningful glossary? What is the appropriate level of detail to

include in such a glossary? How best to accommodate the often conflicting

requirements of keeping the glossary truly business-meaningful, and also provide the

basis for enterprise-wide understanding, governance and data security?

26 October 2016

Patrick O'Sullivan, IBMMike Nicpan, ING

Banking


7 of 27 9/26/2016 12:41 PM

Speakers Industry

ASP–1676: Accelerate Your Testing by Enabling Test DataMining


Breakout Session

, 04:00 PM – 04:45 PM

This session will share practical ways to unlock the value of data that is available in your

test systems. Attendees will understand how to connect data items together from

multiple platforms to provide new insights into the needs of quality assurance teams.

The discussion will cover how to enable business or technical users to mine data with

terms they are already familiar with. Attendees will also hear about State Farm's journey

from initial need to the development of an enterprise-class data mining system.

ASP–1930: Architectural Considerations for Using andApplying Advanced Analytics for Non-TraditionalEnd-Users


Breakout Session

, 03:00 PM – 03:45 PM

Everything around us is becoming more instrumented, and this applies to all of the areas

where we work, sleep, and play. Whether responding to violence, chemical spills, severe

storms, explosions or fire, first responders are required to readily digest information from

a broad ecosystem of data. First responders are not always in a position to use a

26 October 2016

Steven Beatty, State Farm Insurance

Company

Mark Moncelle, State Farm Insurance


25 October 2016


8 of 27 9/26/2016 12:41 PM

Speakers Industry

traditional user interface (laptop, tablet, smartphone). Whether incidents are occurring in

dense urban areas or in highly remote rural regions, they still need access to advanced

analytics, deep learning, and cognitive analytics in order to secure and save lives.

Speakers Industry

ASP–2012: Blending Outputs from Multiple APIs forAdvanced Architectures


Breakout Session

, 10:00 AM – 10:45 AM

Voice transmissions can operate on different frequencies based on a smartphone’s

attached network. Megahertz is a key contributor to voice transmission quality, whether

in a studio, an office, a car, or out in the open. Other quality impacts can include the

microphone and the individual's proximity to the equipment. When using speech-to-text

as part of a mission-critical system, the need to address variability of quality and

intelligibility of what is transmitted cannot be overstated. To address erratic quality

issues, Mer adopted a baseline comparative tooling algorithm with a blend of Bluemix

and Watson APIs along with open source APIs. It then created an advanced, mission-

critical system to help improve the quality of transcribed data.

ASP–2015: Analytics on the Edge: Advanced

Neal Fishman, IBMKevin Coyne, West Safety Services

Government

26 October 2016

Neal Fishman, IBMAriel Cohen, Mer Group

Government


9 of 27 9/26/2016 12:41 PM

Speakers Industry

Architectures for Low-Latency Analytics


Breakout Session

, 11:00 AM – 11:45 AM

Placing advanced analytics and cognitive capabilities on edge nodes has become an

imperative for deriving insights for ultra low-latency use cases. This presentation will

cover the architectural considerations for establishing analytics on an edge note, as well

as analytical considerations on edge nodes that are used as a part of a hybrid cloud

implementation.

24 October 2016

Neal Fishman, IBMDavid Gross, Global Wireless Technologies

LLC

Government


10 of 27 9/26/2016 12:41 PM

Speakers Industry

ASP–2016: Advancing Analytics through Data Sharingand Culture


Breakout Session

, 01:00 PM – 01:45 PM

The Centers for Disease Control is by design a heavily distributed organization. (There is

a reason that "Centers" is plural.) In this era of big/fast data, visualization and dynamic

infrastructure (cloud technology), it is important to architect flexible and sustainable

environments that bring together people, process and technology in innovative ways to

curate and use public health data, information and knowledge. This session focuses on

how other organizations might benefit from pragmatic initiatives to advance insight within

a complex organizational structure.

ASP–2021: Discovered Data Risk—A Key ConsiderationWhen Dealing with Organizational Insights


Breakout Session

, 08:00 AM – 08:45 AM

The use of advanced and cognitive analytics can go a long way in helping you and your

organization know more. But... can you know too much? Can knowing what you've

uncovered establish an implied contract or obligation for action on your part? The

modern data sharing ecosystem means that we’ve entered the next stage of the

Information Age, and with that comes a new slew of ethical considerations. This session

25 October 2016

Neal Fishman, IBMMelvin Crum, CDC

Government

24 October 2016


11 of 27 9/26/2016 12:41 PM

Speakers Industry

explores ethics from an organizational aspect of duty. What if you know someone isn’t

where they say they are? What if you know that you should intervene to help protect the

health of an individual? What ethical considerations must you consider: personally,

departmentally and organizationally?

Speakers Industry

ASP–2035: Hybrid Cloud Secure Data Lake Deploymentin Under Four Hours: Massive Automation Changes theGame


Breakout Session

, 12:00 PM – 12:45 PM

Break through the cost and complexity of securely installing and configuring multiple

products on any cloud or on-premise. The Cloud Installer developed by the IBM Big

Data Architecture Group and Services Center Of Excellence (COE) enables the

installation of analytics products, components and services, with encryption on the wire

and at rest. The Cloud Installer greatly simplifies and speeds up the entire installation

process, resulting in great cost savings and enhanced quality of the final environment.

Don't waste months trying to do it all on your own and/or trying to engage and line up all

the right experts. Do it fast and easy with the Cloud Installer.

Neal Fishman, IBMPamela Lomax, State of Massachusetts,

Office of the State Auditor

Government

24 October 2016

Julius Lerm, IBMEunsin Kim, IBM

Information Technology


12 of 27 9/26/2016 12:41 PM

Speakers Industry

ASP–2036: IBM Analytics Cloud Services: A StrategicBriefing for Business Partners


Theater Session

, 06:00 PM – 06:20 PM

Come get an overview of IBM Analytics Services overall strategy to support the cloud

market. Hear how we work with our strategic offerings, partner enablement programs,

cloud services solutions and offerings and key Services management team contacts.

Topics include: Analytics Services strategy for SaaS and cloud solutions, by

engagement model; offerings overview; standard (pre-packaged, fixed requirements)

and custom/hybrid (complex requirements) SaaS and cloud solutions; Strategic Partner

Enablement for cloud and foundational technologies deployed on cloud; and Strategic

Partner Field Support (contacts/go-to people).

ASP–2042: It's Raining Insights: Advanced,Behavior-Based Customer Insights in the Cloud


Breakout Session

, 10:00 AM – 10:45 AM

This session presents advanced enterprise architecture patterns and explores how a

client successfully leveraged IBM Behavior Based Customer Insight in a managed hybrid

cloud environment. Learn from one of IBM's leading practitioners on lessons learned

25 October 2016

Jerry Hemenway, IBMKevin Zachary, IBMTimothy Davis, IBM

Services

27 October 2016


13 of 27 9/26/2016 12:41 PM

Speakers Industry

from the field and how to have a high impact on your business.

Speakers Industry

ASP–2067: Advanced Enterprise Architecture HybridCloud Data Lake with Hadoop, HA and DR


Breakout Session

, 03:00 PM – 03:45 PM

This session provides an overview of the technologies and techniques used to enable

high availability and disaster recovery in a cloud-based data lake. The techniques

discussed here can be leveraged to HA- and DR-enable IBM BigInsights in the cloud or

on-premise. We will review requirements and different approaches, explaining the

architecture, issues and testing approaches. This is a deep-dive session on real-world

production deployments: how to do it and how to be successful. Hear from IBM's top

practitioners in the field.

ASP–2137: Using Open Metadata to Drive Better DataScience Projects

Sandra L. Tucker, IBMAsim Aziz, Advanced Global Resources

Telecommunications

24 October 2016

Michael RULAND, IBMRichard E. Harken, IBMBob Johnston, IBM



14 of 27 9/26/2016 12:41 PM

Speakers Industry


Breakout Session

, 09:00 AM – 09:45 AM

Finding data has become a time-consuming and costly task taking up to 70% of a

project's resources. But when good metadata is available, the data it describes can be

rapidly located and assessed for applications and analytics. An open source project

called Apache Atlas was recently approved as an incubator project to provide an open

metadata repository and information governance frameworks. This offers an

opportunity to rethink the way we manage data in data science projects. We will cover:

How metadata management must change for the world of big data, social media, IoT

and the legacy systems still in use; the value that an open source project providing

metadata management and governance brings to data science; and the mechanisms

involved.

ASP–2274: Using Cloud Data Integration andGovernance for Hybrid IT Analytics


Breakout Session

, 05:00 PM – 05:45 PM

Enterprises adopt cloud services as part of their business strategy, creating hybrid IT

environments. A hybrid cloud approach for analytics adds complexities for managing

information assets and information governance. The increased complexity covers

aspects like data movement between on-premise and cloud, regulatory compliance,

data protection and privacy. This session offers an overview of IBM’s hybrid cloud

approach to deliver information management functionality anywhere in the enterprise

26 October 2016

S. Lockwood, IBMMandy Chessell, IBM

Banking

24 October 2016


15 of 27 9/26/2016 12:41 PM

Speakers Industry

that is seamlessly governed end-to-end. Examples include IBM DataWorks, DataLift,

etc. to move and govern data between on-premise data lakes and Watson Analytics, or

between cloud-based social customer analytics on Twitter data and on-premise MDM.

Speakers Industry

ASP–2280: Modern Data Warehouse Solution Patterns:Deployment Case Study at a Large Telco


Breakout Session

, 05:00 PM – 05:45 PM

Data warehouses are evolving fast and need to support the volume, velocity and variety

of big data. Many customers are overwhelmed by the flood of data and are currently

using data warehouse solutions that simply cannot keep up. In this session, we will walk

through the expectations for a modern data warehouse and the challenges faced by

current data warehouse solutions, as well as big data architecture, data warehouse

solution patterns and provisioning aspects. The session will also go into details of actual

implementation, challenges, approach and lessons learned from a large telco customer

for whom IBM has implemented a modern data warehouse.

ASP–2335: Advanced Analytic Insights with

Martin Oberhofer, IBMScott Schumacher, IBM


25 October 2016

Yvonne Watson, IBMRamesh Raghupathy, IBMNasir Ansari, Vodafone India Limited



16 of 27 9/26/2016 12:41 PM

Speakers Industry

Unstructured Content on a Hybrid Cloud Secure DataLake


Breakout Session

, 09:00 AM – 09:45 AM

Unstructured content has unlimited depth in providing insights critical to businesses for

exploring and discovering details when making informed decisions. By including

unstructured content in a data lake, you have the opportunity to gain comprehensive

analytics to every aspect of information already available in your organization's content

repositories. Integrating the capabilities of intelligent content capture, text analytics, and

data insights, you will be able to extract information that can be analyzed, aggregated,

joined, filtered and managed—all within a data lake environment. Learn from top

practitioners the advanced methods for integration of structured and unstructured data

in your data lake.

ASP–2438: Identifying Actionable Motivators: AnApproach to Developing Specialized AnalyticalAlgorithms


Breakout Session

, 02:00 PM – 02:45 PM

The presentation follows a healthcare use case to demonstrate how enriching data from

data aggregators can improve analytical insights for an organization. The solution

27 October 2016

Yvonne Watson, IBMNilanjan Sengupta, IBMAli P. Arsanjani, IBM


24 October 2016


17 of 27 9/26/2016 12:41 PM

Speakers Industry

architecture shows how organizations can balance business-side drivers for cost

savings and revenue generation to discover actionable data. The method and approach

illustrate how to think further outside the box, to achieve positive results with big data

and cognitive analytics. Advanced architectures and methods will be discussed.

ASP–2461: Hybrid Cloud Secure Data Lake: DataTransfers and Advanced Security for Moving YourSensitive Data


Breakout Session

, 10:00 AM – 10:45 AM

Many companies are moving toward cloud-based analytic solutions and/or cloud

applications, and utilizing cloud storage to manage IT budgets and take advantage of

newer technologies and approaches. But one thing that tends to come as an

afterthought is: How do I get my data safely into the new environment? Many

cloud-based companies offer secure transfer techniques. But how do you know what is

the correct and most efficient method? This session will discuss specific methods of

data transfer, some of the encryption techniques and how they work, and the

performance impacts of these choices on your day-to-day operations involving the

cloud.

Ken Rotondo, Mind Genomics AdvisorsBert Krieger, Mind Genomics Advisors

Healthcare & Life Sciences

24 October 2016


18 of 27 9/26/2016 12:41 PM

Speakers Industry

Speaker Industry

ASP–2512: Creating Rapid Analytics Prototypes with IBMAnalytics Stampede


Theater Session

, 04:00 PM – 04:20 PM

IBM Analytics Stampede fuses the strength of IBM services, software and skills to

minimize the barriers and expedite analytics solution success, with use cases specific to

our clients' needs. Stampede provides a collaborative and agile vehicle to enable you to

accelerate your clients' analytics journeys. Find out how other companies have

leveraged Stampede to accelerate adoption of hybrid cloud analytics, resulting in

customer success.

ASP–2610: Business Data-Driven Architecture UsingIBM's Data Lake Strategy


Breakout Session

, 12:00 PM – 12:45 PM

Come hear about creating a business data-driven architecture using IBM's data lake

Michael RULAND, IBMRichard E. Harken, IBMBob Johnston, IBM

Information Technology

24 October 2016

Kevin Zachary, IBM Information Technology

27 October 2016


19 of 27 9/26/2016 12:41 PM

Speaker Industry

strategy for one of the largest financial institution in the world. See how to integrate the

systems of record with the systems of engagement, allowing the development of "mind-

blowing" experiences on all channels for the clients. Hear how to deploy "fit per

purpose" data repositories (data topology strategy) on the data lake to allow self-service

BI, advanced analytics, and data discovery and exploration. Understand how predictive

customer intelligence (PCI) and next best action (NBA) can be deployed on a data lake.

Speakers Industry

ASP–2898: Open Source Strategy for Enterprise IT:Advanced Architectures and Methods


Breakout Session

, 11:00 AM – 11:45 AM

Tech startups live and die with open source software (OSS), placing strategic bets on

OSS projects—including their own. Enterprises, in contrast, make more conservative

use of open source, using community-developed code in infrastructure and also in

mobile, web and cloud apps to serve employees, partners and customers. Successful

enterprise IT open source initiatives must provide anticipated ROI in acquisition,

integration and management. This session introduces: Elements of enterprise-level open

source strategy; using OSS as a secret weapon for innovation and differentiation;

current and new use cases for OSS; attracting and retaining talent with OSS use and

contribution; and OSS security and compliance in the enterprise context.

Marcio MOURA, IBM Banking

27 October 2016

William Weinberg, The Linux FoundationGreg Olson, The Linux Foundation



20 of 27 9/26/2016 12:41 PM

Speaker Industry

ASP–2907: Integrating IBM Watson into an EnterpriseHealthcare and Wellness Platform/Ecosystem at Welltok


Breakout Session

, 01:00 PM – 01:45 PM

Welltok, one of IBM’s early pioneers in the Watson ecosystem, has gone well beyond

using Watson to help its clients’ employees leverage the power of cognitive insights to

drive optimal health. Welltok will explain how they use Spark, IBM’s Healthcare

Consolidated Model and Cognos as part of a dynamic ecosystem and wellness

platform. Attendees will also learn the basics of how to architect for cognitive computing

in a HIPPA-compliant environment.

ASP–2920: Quest Diagnostics' Big Data Analytics withIBM Unified Data Model for Health Care and Netezza


Breakout Session

, 08:00 AM – 08:45 AM

Quest Diagnostics has the US’s largest longitudinal healthcare data warehouse, covering

over 50% of the US population. To meet clinical/operational/financial reporting and

exploratory analytical demands, we have introduced our next-generation big data

analytics platform and information management strategy. The platform supports highly

curated, insights-driven products and services, and decentralized self-service models

for advanced analytics with connectivity to broader healthcare ecosystem partners. The

new platform is built on top of Hadoop, IBM Unified Healthcare Data Model, Information

Server, PureData for Analytics, and Cognos. This platform is core to Quest Diagnostics’

24 October 2016

Whit Walters, Welltok Healthcare & Life Sciences

27 October 2016


21 of 27 9/26/2016 12:41 PM

Speakers Industry

transformation and underpins our “Action from Insight” brand.

Speakers Industry

ASP–3182: Uncovering Cyber-Economic Business RiskManagement in Near Real-Time


Breakout Session

, 11:00 AM – 11:45 AM

This session will discuss how using IBM's analytics and big data products can provide

business capabilities for analyzing, planning and modeling strategies to protect an

organization. The discussion will cover the entire risk management lifecycle, from data

ingestion to end-user access, and includes mining structured and unstructured data,

machine learning, data analysis, statistical modeling, and predictive and investigative

modeling.

ASP–3298: Advanced Analytics and InformationGovernance as Foundations of a Cognitive Bank


Breakout Session

Upender Bathini, Quest Diagnostics IncKetan parikh, Quest Diagnostics

Healthcare & Life Sciences

26 October 2016

Craig Crawford, EYGreg Adams, EY

Aerospace & Defense


22 of 27 9/26/2016 12:41 PM

Speakers Industry

, 02:00 PM – 02:45 PM

This session illustrates how banks in Latin America are embracing the cognitive era by

exploring and implementing predictive analytics using trusted, governed information.

Attendees will learn how customers can quickly deliver business value by partnering

with IBM to rapidly derive valuable insights using their existing and new data sources,

and IBM's agile frameworks for data integration, governance and advanced analytics.

Speaker Industry

ASP–3392: Open Source Data Projects: Lightning Talkson What's New


Theater Session

, 10:30 AM – 10:50 AM

Don't miss these lightning talks about open technologies and interfaces, including

Graph, Apache Atlas, Hadoop, Kafka, Spark, Quarks and TinkerPop, NoSQL, OData,

and ODPi. There will also be a closing question-and-answer time. Speakers include

Scott Gray, Hubert Heijkers, Kelvin Lawrence, Jason Plurad, Mike Spicer, and more.

ASP–3408: Data Topologies for Hybrid Cloud SecureData Lake: From Data Strategy to Data Lake Deployment


27 October 2016

Mario Godinez, IBMCarolina Leonor Golia, IBM

Banking

24 October 2016

Susan Malaika, IBM Not Industry Specific


23 of 27 9/26/2016 12:41 PM

Speakers Industry

Breakout Session

, 04:00 PM – 04:45 PM

Building a successful hybrid cloud analytics platform requires more than just technology

and infrastructure. In this session, you will learn how to develop a data topology for data

architectures in support of both agile (ad hoc) and governed data analytics. You'll learn

best practices for deploying and governing data flows, entity/master data, and data

structures using modern, scalable big data platforms and technologies.

Speakers Industry

ASP–3409: Developing a Hybrid Cloud Secure DataLake and Enterprise Analytics Environment at Lululemon


Breakout Session

, 01:00 PM – 01:45 PM

Lululemon is building its next-generation enterprise analytics environment in the cloud,

with lessons learned from their on-premise BI environment. You will learn how to get

started with developing a data topology for self-service analytics, ingest and data

replication from on-premise to cloud, leveraging open source and IBM platforms

(dashDB, BigInsights and InfoSphere Information Governance Catalog).

26 October 2016

Ganesh KRISHNAMURTHY, IBMPaul Christensen, IBMTimothy Davis, IBM


25 October 2016

Paul Christensen, IBMDave Hewlett, Lululemon Athletica



24 of 27 9/26/2016 12:41 PM

Speakers Industry

ASP–3410: Data-First Methodology: Driving High-ImpactSuccess for Hybrid Cloud Data Lake and Analytics


Breakout Session

, 04:00 PM – 04:45 PM

IBM's new DataFirst Method provides the strategy, expertise and game plan to help you

get the most value from data. The DataFirst Method places the different uses of data into

a maturity model so you can assess where you are today—and, more importantly,

identify what’s best to do next. In this session, you'll learn about the DataFirst Method,

understand the maturity curve for self-assessment, and understand entry points,

workshops, methods and proven practices to ensure success on your journey to

becoming a data-driven business. We'll also discuss architecture, methodology, and

roadmap to success.

ASP–3609: Driving Agility to Accelerate Data ScienceCycles at ANZ Bank


Breakout Session

, 08:00 AM – 08:45 AM

The pace of the world is accelerating. Nightly news is replaced by Twitter. Companies go

from idea to market in months. Technologies come and go at an ever-increasing pace,

and development cycles are moving from years and months to weeks and days. Data

24 October 2016

Ganesh KRISHNAMURTHY, IBMPaul Christensen, IBMTimothy Davis, IBM


26 October 2016


25 of 27 9/26/2016 12:41 PM

Speakers Industry

scientists expect—and need—the ability to turn around new models, ideas and data

feeds faster and faster. But amidst this, intensifying regulation and publicity means that

risk tolerance is increasingly squeezed. So how can data technology groups meet these

seemingly conflicting demands of faster, cheaper change cycles while creating less risk?

The answer lies in replacing handoffs with integration, once-offs with repeatable

processes, and error-manual tasks with DevOps automation.

ASP–3610: Industry Directions with Open Source andHybrid Cloud Secure Data Lake Architectures andMethods


Breakout Session

, 09:00 AM – 09:45 AM

At this session leading experts will discuss industry and technology directions, including

the use of open source software stacks for deployment of hybrid cloud secure data

lakes and analytic systems. IBM will discuss successful industry deployments, and Steve

Rubinow of Catalina Marketing will give insights on where the enterprise and

technologies are going in the future. This will include a discussion on open source and

mobile, as well as the integration of new data sources for high impact on the enterprise

including geolocation, weather, social media, etc.

David Hall, ANZDarren Abbruzzese, ANZ Bank

Banking

24 October 2016


26 of 27 9/26/2016 12:41 PM

Speakers Industry

Speakers Industry

ASP–3617: Data Harbour: Macquarie Bank's InnovativeData Ecosystem


Breakout Session

, 02:00 PM – 02:45 PM

Two years ago, Macquarie Bank started a journey to become a leading digital bank.

Crucial to this strategy was the concept of being agile and scalable in its ability to

manage and provide access to information. Our live ecosystem Data Harbour is

unlocking access to our data and enabling new analytics capabilities, all on a secure

and governed platform. Join us to find out how Macquarie Bank, together with IBM, went

on a journey to challenge existing approaches and used new technologies and ideas to

create an innovative data ecosystem.

Jo Ramos, IBMBob Johnston, IBMSteven Rubinow, Catalina Marketing


24 October 2016

Timothy Davis, IBMBen Chin, Macquarie Group LimitedJack Chung, Macquarie Group Limited

Banking


27 of 27 9/26/2016 12:41 PM

asp–1149: digital experiences live: demonstrations of how ... · breakout session, €11:00 am...

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